<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>Journal of Computer Sciences and Applications</journalTitle>
<eissn>2328-725X</eissn>
<publicationDate>2015-04-16</publicationDate>
<volume>3</volume>
<issue>2</issue>
<startPage>52</startPage>
<endPage>55</endPage>
<doi>10.12691/jcsa-3-2-6</doi>
<publisherRecordId>JCSA2015326</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Cryptanalysis Using Soft Computing Techniques</title>
<authors>
<author>
<name>Harsh Bhasin</name>
<email>i_harsh_bhasin@yahoo.com</email>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Asif Hameed Khan</name>
<affiliationId>1</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">Department of Computer Sc.&Engg, Jamia Hamdard University, New Delhi-62, India</affiliationName>

</affiliationsList>
<abstract language="eng">This paper proposes a Genetic Algorithm (GAs) based cryptanalysis technique. Genetic Algorithms are the optimization techniques which are also known for robustness. The analysis and the involved theory have been presented in the paper. The designing of fitness function has been done using the statistical analysis of a Standard English Language documents. The technique has been verified using 9 text documents of about 4000 words and the results are encouraging. The technique paves way of Soft Computing techniques in Cryptanalysis.</abstract>
<fullTextUrl format="pdf">http://pubs.sciepub.com/jcsa/3/2/6/jcsa-3-2-6.pdf</fullTextUrl>
<keywords language="eng"><keyword>Cryptanalysis</keyword>
<keyword>Cryptography</keyword>
<keyword>Genetic Algorithms (GAs)</keyword>
</keywords>
</record>
</records>
